Landlord Lead Generation / Data Mining Specialist

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: TYPE OF WORK

Full Time

: SALARY

500

: HOURS PER WEEK

38

: DATE UPDATED

Oct 16, 2026

JOB OVERVIEW

JOB TITLE:
Landlord Lead Generation / Data Mining Specialist

JOB OVERVIEW:

We are looking for a reliable and detail-oriented Data Miner / Lead Generation Specialist to help us find high-quality landlord leads for our property business.

Your main responsibility will be to identify private landlords, portfolio landlords, buy-to-let owners, and rental property owners, then find and verify their contact information.

This is a research and data-mining role. It is not a sales position.

We care more about accurate and contactable landlord leads than simply producing a large quantity of poor-quality data.

MAIN RESPONSIBILITIES:

- Find landlords and rental property owners in specific target areas
- Identify who owns rental properties
- Find landlord phone numbers and email addresses
- Research landlords who own multiple properties
- Build clean and organized lead lists
- Verify information before submitting leads
- Remove duplicates and incorrect records
- Enter leads into Google Sheets, spreadsheets, or our CRM
- Categorize leads correctly
- Record the source of each lead
- Meet daily and weekly lead-generation targets

INFORMATION REQUIRED FOR EACH LEAD:

- Landlord or property owner's full name
- Phone number
- Email address
- Rental property address
- Correspondence address where available
- Property type
- Number of properties owned where available
- Area or postcode
- Lead source
- Any other useful information about the landlord

TYPES OF LEADS WE WANT:

- Private landlords
- Portfolio landlords
- Buy-to-let landlords
- HMO landlords
- Landlords with multiple properties
- Landlords advertising properties for rent
- Self-managing landlords
- Absentee landlords
- Landlords with vacant properties
- Landlords who may require property management services

POSSIBLE TOOLS AND SOURCES:

- Google
- Property portals
- Rental listing websites
- LinkedIn
- Facebook
- Property databases
- Company and director databases
- Publicly available property information
- Lead generation software
- Skip tracing tools
- Other research methods

We are particularly interested in people who can think creatively and find landlords that are not easy to locate.

REQUIREMENTS:

- Previous experience with lead generation or data mining
- Strong online research skills
- Very good attention to detail
- Experience using Google Sheets or Excel
- Ability to follow instructions and SOPs
- Ability to work independently
- Good English communication skills
- Reliable internet connection
- Good organization skills

Experience with real estate, property management, landlord data, skip tracing, or property research is a strong advantage.

HOW PERFORMANCE WILL BE MEASURED:

- Number of qualified landlord leads produced
- Accuracy of the data
- Percentage of leads with valid phone numbers
- Percentage of leads with valid emails
- Duplicate rate
- Incorrect lead rate
- Ability to hit agreed targets
- Consistency of work

A lead will not count simply because you found a name.

We are looking for real landlords with useful and accurate contact information that our team can actually contact.

HOW TO APPLY:

Please include the following in your application:

1. A short introduction about yourself
2. Your previous lead generation or data mining experience
3. Any experience finding landlord or real estate leads
4. The tools or websites you normally use for research
5. How many qualified landlord leads you believe you can produce per day
6. How you would verify that someone is actually a landlord
7. How you would find the phone number or email address of a landlord
8. Your expected hourly or monthly salary

IMPORTANT:

Start your application with the words:

LANDLORD DATA

Applications that do not include this will not be considered.

SKILL REQUIREMENT

Lead Generation Data Capture Research

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Landlord Lead Generation / Data Mining Specialist

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

SALARY

HOURS PER WEEK

DATE UPDATED

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